Potential Exam 2 Questions And Answers
2026 Update!!!
Create a model for a significant
correlation/dimension
How do you know it is significant?
Draw the canonical correlation input set up
the proportion of variance explained, measures
how much variance in one dataset (X) is
Explain Redundancy Analysis, its importance and explained by another (Y), focusing on
where to find it maximizing explained variance rather than just
correlation. an alternative to canonical
correlation analysis
within redundancy is the percent of variance
explained by the canonical variate on its own
side
What are the different types of redundancy
across redundancy is the variance in Xs
explained by the Ys and vice versa
linear combinations of variables. one canonical
what are the canonical variables? variate on the x side, one canonical variate on
the y side
the two canonical variates taken together make
what is a canonical variate pair?
up the pair of variates
, what is the canonical input matrix formula and Rxx = The correlation
what does each variable represent? matrix of the variables
with themselves (variance
within).
Ryy = The correlation
matrix of the variables
with themselves (variance
within).
Rxy = The cross-
correlation matrix
between and X and Y (Rxy
2026 Update!!!
Create a model for a significant
correlation/dimension
How do you know it is significant?
Draw the canonical correlation input set up
the proportion of variance explained, measures
how much variance in one dataset (X) is
Explain Redundancy Analysis, its importance and explained by another (Y), focusing on
where to find it maximizing explained variance rather than just
correlation. an alternative to canonical
correlation analysis
within redundancy is the percent of variance
explained by the canonical variate on its own
side
What are the different types of redundancy
across redundancy is the variance in Xs
explained by the Ys and vice versa
linear combinations of variables. one canonical
what are the canonical variables? variate on the x side, one canonical variate on
the y side
the two canonical variates taken together make
what is a canonical variate pair?
up the pair of variates
, what is the canonical input matrix formula and Rxx = The correlation
what does each variable represent? matrix of the variables
with themselves (variance
within).
Ryy = The correlation
matrix of the variables
with themselves (variance
within).
Rxy = The cross-
correlation matrix
between and X and Y (Rxy
